Nigel Beaton

729 total citations
17 papers, 517 citations indexed

About

Nigel Beaton is a scholar working on Molecular Biology, Spectroscopy and Computational Theory and Mathematics. According to data from OpenAlex, Nigel Beaton has authored 17 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Spectroscopy and 4 papers in Computational Theory and Mathematics. Recurrent topics in Nigel Beaton's work include Advanced Proteomics Techniques and Applications (4 papers), Computational Drug Discovery Methods (4 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). Nigel Beaton is often cited by papers focused on Advanced Proteomics Techniques and Applications (4 papers), Computational Drug Discovery Methods (4 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). Nigel Beaton collaborates with scholars based in Switzerland, Germany and United Kingdom. Nigel Beaton's co-authors include Christian Wolfrum, Gottfried Rudofsky, Wolfgang Langhans, Tenagne D. Challa, Myrtha Arnold, Lukas Reiter, Ilaria Piazza, Paola Picotti, Natalie de Souza and Roland Bruderer and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Blood.

In The Last Decade

Nigel Beaton

15 papers receiving 510 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nigel Beaton Switzerland 10 239 125 92 78 68 17 517
Shuai Yan China 14 220 0.9× 88 0.7× 93 1.0× 75 1.0× 81 1.2× 38 687
Melissa A. Greeve Australia 7 461 1.9× 189 1.5× 145 1.6× 60 0.8× 62 0.9× 8 778
Yana Sandlers United States 15 315 1.3× 225 1.8× 97 1.1× 39 0.5× 41 0.6× 26 621
Yijun Lin China 15 298 1.2× 135 1.1× 55 0.6× 17 0.2× 110 1.6× 28 679
Radha Krishna United States 17 449 1.9× 153 1.2× 104 1.1× 87 1.1× 65 1.0× 29 895
Arno van Cruchten Netherlands 14 646 2.7× 173 1.4× 74 0.8× 25 0.3× 46 0.7× 16 894
Katharine D’Aquino United States 12 314 1.3× 111 0.9× 103 1.1× 16 0.2× 43 0.6× 16 524
Sheree D. Martin Australia 16 402 1.7× 186 1.5× 96 1.0× 30 0.4× 64 0.9× 26 728
Ji-Young Kim South Korea 12 144 0.6× 223 1.8× 128 1.4× 103 1.3× 52 0.8× 26 580
Mary Board United Kingdom 12 290 1.2× 128 1.0× 40 0.4× 14 0.2× 67 1.0× 18 643

Countries citing papers authored by Nigel Beaton

Since Specialization
Citations

This map shows the geographic impact of Nigel Beaton's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nigel Beaton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nigel Beaton more than expected).

Fields of papers citing papers by Nigel Beaton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nigel Beaton. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nigel Beaton. The network helps show where Nigel Beaton may publish in the future.

Co-authorship network of co-authors of Nigel Beaton

This figure shows the co-authorship network connecting the top 25 collaborators of Nigel Beaton. A scholar is included among the top collaborators of Nigel Beaton based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nigel Beaton. Nigel Beaton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Soste, Martin, Maria Stella Ritorto, Klaus P. Hoeflich, et al.. (2024). Abstract 5776: Target identification, selectivity profiling and binding site mapping of small molecule and peptide drugs by LiP-MS. Cancer Research. 84(6_Supplement). 5776–5776.
2.
Soste, Martin, Mirjam Zimmermann, Aurélien Rizk, et al.. (2023). Abstract 3847: Target identification of a multi-pass transmembrane G protein coupled receptor using limited-proteolysis coupled mass spectrometry (LiP-MS). Cancer Research. 83(7_Supplement). 3847–3847. 1 indexed citations
3.
Wróbel, Lidia, Sandra Malmgren Hill, Marian Fernandez-Estévez, et al.. (2022). Compounds activating VCP D1 ATPase enhance both autophagic and proteasomal neurotoxic protein clearance. Nature Communications. 13(1). 4146–4146. 23 indexed citations
4.
Malinovska, Liliana, Valentina Cappelletti, Ilaria Piazza, et al.. (2022). Proteome-wide structural changes measured with limited proteolysis-mass spectrometry: an advanced protocol for high-throughput applications. Nature Protocols. 18(3). 659–682. 65 indexed citations
5.
6.
Tognetti, Marco, Nigel Beaton, Kamil Skłodowski, Roland Bruderer, & Lukas Reiter. (2022). 602 Mass spectrometry-based protein biomarker analysis in chemoimmunotherapy combinations identifies unique immune signatures in pancreatic cancer. Regular and Young Investigator Award Abstracts. A631–A631. 2 indexed citations
7.
Soffientini, Ugo, Nigel Beaton, Sukriti Baweja, et al.. (2021). The Lipopolysaccharide-Sensing Caspase(s)-4/11 Are Activated in Cirrhosis and Are Causally Associated With Progression to Multi-Organ Injury. Frontiers in Cell and Developmental Biology. 9. 668459–668459. 12 indexed citations
8.
Piazza, Ilaria, Nigel Beaton, Roland Bruderer, et al.. (2020). A machine learning-based chemoproteomic approach to identify drug targets and binding sites in complex proteomes. Nature Communications. 11(1). 4200–4200. 112 indexed citations
9.
Feng, Yinnian, Nigel Beaton, Ilaria Piazza, et al.. (2020). LiP-Quant, an automated chemoproteomic approach to identify drug targets in complex proteomes. European Journal of Cancer. 138. S54–S55. 1 indexed citations
10.
Feng, Yuehan, Nigel Beaton, Roland Bruderer, et al.. (2020). Abstract 6404: LiP-Quant, an automated chemoproteomic approach to identify drug targets in complex proteomes. Cancer Research. 80(16_Supplement). 6404–6404. 1 indexed citations
11.
Ingavle, Ganesh, Les Baillie, Nathan Davies, et al.. (2018). Bioinspired detoxification of blood: The efficient removal of anthrax toxin protective antigen using an extracorporeal macroporous adsorbent device. Scientific Reports. 8(1). 7518–7518. 9 indexed citations
12.
Sandeman, Susan, Yishan Zheng, Ganesh Ingavle, et al.. (2017). A haemocompatible and scalable nanoporous adsorbent monolith synthesised using a novel lignin binder route to augment the adsorption of poorly removed uraemic toxins in haemodialysis. Biomedical Materials. 12(3). 35001–35001. 29 indexed citations
13.
Beaton, Nigel, S. Müller, Eva Röder, et al.. (2015). TUSC5 regulates insulin-mediated adipose tissue glucose uptake by modulation of GLUT4 recycling. Molecular Metabolism. 4(11). 795–810. 28 indexed citations
14.
Vela, Jeseth Delgado, Kelly J. Martin, Nigel Beaton, et al.. (2015). Nutrient Removal from Mainstream Anaerobic Processes using a Membrane Biofilm Reactor and a Granular Sludge Sequencing Batch Reactor. Proceedings of the Water Environment Federation. 2015(16). 1266–1273. 1 indexed citations
15.
Winkler, Julia K., Jobst‐Hendrik Schultz, Maik Brune, et al.. (2012). TaqIA polymorphism in dopamine D2 receptor gene complicates weight maintenance in younger obese patients. Nutrition. 28(10). 996–1001. 26 indexed citations
16.
Challa, Tenagne D., Nigel Beaton, Myrtha Arnold, et al.. (2011). Regulation of Adipocyte Formation by GLP-1/GLP-1R Signaling. Journal of Biological Chemistry. 287(9). 6421–6430. 119 indexed citations
17.
Meißburger, Bettina, Jozef Ukropec, Nigel Beaton, et al.. (2011). Adipogenesis and insulin sensitivity in obesity are regulated by retinoid‐related orphan receptor gamma. EMBO Molecular Medicine. 3(11). 637–651. 88 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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